MiMo 7B RL is a compact reasoning-focused model trained with reinforcement learning to think through problems step by step. It punches above its weight class on logical and mathematical tasks, showing that careful RL fine-tuning can extract surprising capability from a 7B parameter base. The trade-off is scope — it's a specialist, not a generalist, and works best when the task has a clear, verifiable answer.